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rl-course-unit-1-ppo-lunarlander-v2
vtorg/rl-course-unit-1-ppo-lunarlander-v2
rl-course-unit-1-ppo-lunarlander-v2 is a reinforcement learning model from vtorg. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
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.mp4218 KB · 41%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- May 5, 2022
- Updated
- May 5, 2022
- SHA
- 3889df0a
Model card
From the Hugging Face model README
PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
Usage (with Stable-baselines3)
model = PPO(
policy = 'MlpPolicy',
env = env,
n_steps = 2048,
batch_size = 512,
n_epochs = 4,
gamma = 0.099,
gae_lambda = 0.98,
ent_coef = 0.01,
learning_rate=0.00001,
verbose=1,
tensorboard_log="./ppo_tensorboard/")
model.learn(total_timesteps=int(10e6))
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- May 5, 2022
- Updated
- May 5, 2022